Triple

T2415032
Position Surface form Disambiguated ID Type / Status
Subject Máxima Zorreguieta Cerruti E52282 entity
Predicate givenName P17 FINISHED
Object Máxima E94726 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Máxima | Statement: [Máxima Zorreguieta Cerruti, givenName, Máxima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Máxima
Context triple: [Máxima Zorreguieta Cerruti, givenName, Máxima]
  • A. Máxima chosen
    Máxima is the Argentine-born Queen consort of the Netherlands, married to King Willem-Alexander and known for her work in finance, social inclusion, and microcredit initiatives.
  • B. Leopoldina
    Leopoldina is the German National Academy of Sciences, one of the world’s oldest continuously existing academies dedicated to advancing scientific research and advising society and policymakers.
  • C. Maria
    Maria is the birth name of Marie Curie, the pioneering physicist and chemist who conducted groundbreaking research on radioactivity.
  • D. Maria
    Maria is the protagonist of Paulo Coelho's novel "Eleven Minutes," a young Brazilian woman whose journey explores themes of love, sexuality, and self-discovery.
  • E. Maria
    Maria is an alternate given name of Letizia Ramolino, the mother of Napoleon Bonaparte and a notable figure in Corsican and French history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94bd7ec81909f5b4a16a406165b completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf4748d0819088aec3bc14dc5519 completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:41 p.m.